Zobrazeno 1 - 10
of 233
pro vyhledávání: '"Man‐Lai Tang"'
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0279918 (2023)
One of the main concerns in multidimensional item response theory (MIRT) is to detect the relationship between observed items and latent traits, which is typically addressed by the exploratory analysis and factor rotation techniques. Recently, an EM-
Externí odkaz:
https://doaj.org/article/887c50f6137745558650cf1795e59a9b
Publikováno v:
Journal of Biopharmaceutical Statistics. 32:871-896
This article investigates the confidence interval (CI) construction of proportion difference for two independent partially validated series under the double-sampling scheme in which both classifiers are fallible. Several CIs based on the variance est
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d55b43378b238ec4ba5bbef5cd81e82e
https://doi.org/10.1080/10543406.2022.2058527
https://doi.org/10.1080/10543406.2022.2058527
Publikováno v:
Journal of Nonparametric Statistics. 34:164-186
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5f941524ff45dcee7e55af6adee3ad1
https://doi.org/10.1080/10485252.2022.2026353
https://doi.org/10.1080/10485252.2022.2026353
Publikováno v:
Biometrical Journal. 64:714-732
Copyright © 2021 The Authors. Zeros in compositional data are very common and can be classified into rounded and essential zeros. The rounded zero refers to a small proportion or below detection limit value, while the essential zero refers to the co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4be0e0ea2c81a536b2301ca2c24a8069
https://doi.org/10.1002/bimj.202000334
https://doi.org/10.1002/bimj.202000334
Publikováno v:
Australian & New Zealand Journal of Statistics. 63:579-605
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9d19f5443b06dd0984faf36425c9426
https://doi.org/10.1111/anzs.12345
https://doi.org/10.1111/anzs.12345
Publikováno v:
Computational Statistics. 36:2967-2994
This paper considers a Bayesian approach for joint estimation of the marginal conditional quantiles from several dependent variables under a linear regression framework. This approach incorporates the dependence among different dependent variables in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f1f985ceffc223aa95ba0c564b07c2c
https://doi.org/10.1007/s00180-021-01158-4
https://doi.org/10.1007/s00180-021-01158-4
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-20
Treatment effects estimation is one of the crucial mainstays in medical and epidemiological studies. Ignorance of the existence of confounders may result in biased estimators. The issue will become...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1abf898003166adcf101d65b9285a5b5
https://doi.org/10.1080/03610918.2021.1966465
https://doi.org/10.1080/03610918.2021.1966465
Publikováno v:
Journal of Statistical Computation and Simulation. 93:956-982
To model count data with excess zeros, ones and twos, for the first time we introduce a so-called zero-one-two-inflated Poisson (ZOTIP) distribution, including the zero-inflated Poisson (ZIP) and t...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ecde6023f6f31e19f5609d41eb79bc7
https://doi.org/10.1080/00949655.2021.1970162
https://doi.org/10.1080/00949655.2021.1970162
Publikováno v:
J Appl Stat
In this paper, we propose a new kind of multivariate t distribution by allowing different degrees of freedom for each univariate component. Compared with the classical multivariate t distribution, it is more flexible in the model specification that c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbc1f828907fbd97698a621c78b99e6e
https://doi.org/10.1080/02664763.2021.1913106
https://doi.org/10.1080/02664763.2021.1913106
Publikováno v:
Journal of Data Science. 9:445-470
The power law process (PLP) (i.e., the nonhomogeneous Poisson process with power intensity law) is perhaps the most widely used model for analyzing failure data from reliability growth studies. Statistical infer- ences and prediction analyses for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13f79181988dac938c5ea99fe9de18e8
https://doi.org/10.6339/jds.201107_09(3).0009
https://doi.org/10.6339/jds.201107_09(3).0009